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» Method of Motion Data Processing Based on Manifold Learning
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APVIS
2009
15 years 3 months ago
Visualizing time-varying features with TAC-based distance fields
To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-vary...
Teng-Yok Lee, Han-Wei Shen
132
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KDD
2009
ACM
266views Data Mining» more  KDD 2009»
15 years 9 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
145
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UAI
2008
15 years 4 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
183
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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 15 days ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
144
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BMCBI
2007
157views more  BMCBI 2007»
15 years 2 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...